Python program to apply a function with multiple arguments to create a new Pandas column# Importing pandas package import pandas as pd # Creating a dictionary d = {"A": [10, 20, 30, 40], "B": [50, 60, 70, 80]} # Creating a DataFrame df = pd.DataFrame(d) # Disp...
defmy_function(row):ifrow['age']>=18:row['gender']='已成年'returnrow #2.data['gender']=data['gender'].apply(my_function)
By applying a function to each row, we can create a new column by using the values from the row, updating the row, etc. Note that by default it usesaxis=0meaning itapplies a function to each column. Key Points – applywith theaxis=1parameter allows you to apply a function to each ...
(col1_numbers/col2_numbers) # Create list of strings containing the values of the new column values = [x['col2']]*repetition # Join the list of strings with pipes return '|'.join(values)# Apply the function on every rowdf['fnlsrc'] = df.apply(lambda x:new_value(x), axis=1)...
由于批处理由batch_id标识,因此您可以迭代所有唯一的batch_id,并仅为当前迭代的批处理向“new feature”列添加合适的条目。 ### First create an empty column sample["new feature"] = np.nan ### iterate through all unique id's for id in sample["batch id"].unique(): batch = samples.loc[sample...
一种方法是首先使用 apply 创建一个标题中不包含任何单词的列,然后对该列进行过滤。 #创建一个新列 #create a new columndf['num_words_title']=df.apply(lambdax:len(x['Title'].split(" ")),axis=1)#simple filter on new columnnew_df=df[df['num_words_title']>=4] ...
你可以使用@greenAfrican示例。但是如果你不想重写你的函数，你可以把它 Package 到apply内部的匿名函数...
data.groupby('column_1')['column_2'].apply(sum).reset_index()按列分组，选择要在其上操作函数...
# 运行以下代码deffix_century(x): year = x.year - 100if x.year > 1989else x.yearreturn datetime.date(year, x.month, x.day)# apply the function fix_century on the column and replace the values to the right onesdata['Yr_Mo_Dy'] = data['Yr_Mo_Dy'].apply(fix_century)# data...
SQL Google BigQuery read_gbq to_gbq 这里是一些 IO 方法的非正式性能比较。 注意 对于使用StringIO类的示例,请确保在 Python 3 中导入它时使用from io import StringIO。 CSV & 文本文件 用于读取文本文件(也称为平面文件)的主要函数是 read_csv()。查看食谱以获取一些高级策略。 解析选项 read_csv() 接受...